In recent years, with the rapid development of China's civil aviation industry, the maintenance of aircraft engines has grown rapidly in terms of both the number of repairs and the repair capacity. The structure of aero engine is complex, and the technical requirements for maintenance are high. During the operation of the aircraft, the engine equipment will decay due to fatigue, wear, aging and other reasons. Running equipment in a decay state often causes increased costs, increased failure rates, and huge safety risks. Proper maintenance can prevent equipment from operating in poor conditions, but excessive maintenance can increase equipment downtime and maintenance costs. According to the development trend of the state and possible failure modes, adopting corresponding maintenance strategies, preparing maintenance in advance, and adjusting the flight plan reasonably, this is of great significance for reducing equipment maintenance costs, improving operating efficiency and system safety, and improving the revenue of aviation companies.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Aircraft Engine Maintenance Based on Reinforcement Learning


    Beteiligte:
    Xu, Xuedong (Autor:in) / Wang, Xiao (Autor:in)


    Erscheinungsdatum :

    2020-01-01


    Format / Umfang :

    228006 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    AIRCRAFT ENGINE MAINTENANCE

    Cooper, E. O. | SAE Technical Papers | 1937


    Aircraft engine maintenance

    Engineering Index Backfile | 1942


    AIRCRAFT ENGINE MAINTENANCE SYSTEM

    ELLIS SEAN / VYAS PARAG / NNAEKEZIE RICHARDSON et al. | Europäisches Patentamt | 2016

    Freier Zugriff

    Aircraft engine maintenance study

    Capra, J.R. / Clemmensen, B.C. / Lavalee, W. | Tema Archiv | 1975